Modeling Human-Like Cognition
Incorporate elements of human cognition, such as memory (episodic and working), emotional understanding, and social intelligence, to handle real-world complexity.
Research focus: Cognitive architectures (e.g., ACT-R, SOAR) and biologically inspired AI.
Scaling Compute and Infrastructure
Leverage massive computational resources to simulate the complexity of human brain processes or to brute-force solutions until more efficient methods emerge.
Example: Projects like xAI’s efforts to accelerate scientific discovery could provide the hardware backbone.
Testing and Validation
Develop benchmarks and environments to test AGI capabilities across diverse, unpredictable scenarios, ensuring robustness and safety.
Example: Moving beyond narrow metrics like accuracy to holistic evaluations of adaptability and ethics.